ICCK

Saša Aleksandrov

EWG

Section 01

Academic Profile

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Section 02

Editorial Roles

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Section 03

ICCK Publications

Free Access | Research Article | 12 September 2026
Comparative Analysis of Smart Meter Testing According to International Standards with AI-Based Methods for Anomaly Detection
ICCK Transactions on Electric Power Networks and Systems | Volume 2, Issue 3: 149-160, 2026 | DOI: 10.62762/TEPNS.2026.407661
Abstract
Standard type verification of three-phase smart meters is performed under idealized balanced test conditions that do not fully reproduce the current unbalance, single-phase loading and voltage deviations found on real distribution networks, so that a channel-specific calibration fault can pass undetected. This paper presents a methodology combining standard IEC~62052-11 and EN~50470-3 verification with an extended set of near-real-network test conditions (unbalanced current distribution, single-phase loading, and voltage deviation from nominal), together with a statistical/machine-learning screening step applied to aggregated laboratory verification results and used to flag units for target... More >

Graphical Abstract
Comparative Analysis of Smart Meter Testing According to International Standards with AI-Based Methods for Anomaly Detection